nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2025, 10, v.55 2114-2122
面向网联无人机的低空安全防控策略研究
基金项目(Foundation): 北京市自然科学基金-海淀原始创新联合基金资助项目(L232003); 中国人民公安大学公共安全行为科学与工程科技创新项目(2022KXCCKJ07); 2024LL26项目; 北京市社会科学基金项目(24JCC095)~~
邮箱(Email):
DOI:
发布时间: 2025-08-07
出版时间: 2025-08-07
网络发布时间: 2025-08-07
移动端阅读
摘要:

在无人机赋能千行百业的进程中,其伴生的低空安全问题已成为不容忽视的现实挑战。现有的无人机防控体系可以有效应对常规消费级无人机威胁,但是难以应对网联无人机这一新型威胁。通过论述现有无人机防控技术优缺点,分析发现现有防控技术与装备难以有效探测和反制网联无人机。研究面向网联无人机的低空安全防控应对策略与技术方案,通过地理和通信信息融合建模、多模态侦测预警、电子围栏自动生成、感通导控一体化芯片、应急处置预案智能生成、空天地一体化监测网、智慧指挥控制系统、便携式执法终端等策略,防范化解网联无人机带来的低空安全风险,推动以高水平低空安全护航低空经济高质量发展。

Abstract:

As Unmanned Aerial Vehicles(UAVs) continue to empower a broad spectrum of industries, the associated challenges of low-altitude security have become an increasingly pressing concern.Existing UAVs countermeasure systems are generally effective in dealing with conventional consumer-grade drone threats but struggle to address the new and complex risks posed by net-linked UAVs.The current development and challenges of UAVs are reviewed, and the strategic importance of net-linked UAVs is emphasized.The advantages and limitations of current counter-UAV technologies are systematically evaluated, and their ineffectiveness in detecting and neutralizing net-linked UAVs are analyzed.A set of low-altitude security strategies and technical solutions tailored to the unique operational characteristics of net-linked UAVs are proposed, which includes geo-communication information fusion modeling, multimodal detection and early warning, automatic geofence generation, integrated perception-communication-navigation-control chips, intelligent generation of emergency response plans, space-air-ground integrated surveillance networks, intelligent command and control systems, and portable law enforcement terminals.Collectively, these measures can mitigate the security risks posed by net-linked UAVs and provide robust support for safeguarding the high-quality development of low-altitude economy through an advanced low-altitude security framework.

参考文献

[1] 王纪武,王奕宁,章俊屾.低空经济下低空空域利用的规划应对策略[J].规划师,2025,41(4):31-38.

[2] 张军,陈磊,高智杰,等.低空无人机技术研究现状与展望[J].中国工程科学,2025,27(2):73-85.

[3] 王建,韦卓,辛红强,等.典型场景下的无人机探测反制技术及应用[J].兵器装备工程学报,2025,46(2):72-79.

[4] 蒋冬婷,范长军,雍其润,等.面向重点区域安防的无人机探测与反制技术研究[J].应用科学学报,2022,40(1):167-178.

[5] 邓中亮,高彦彪,张耀.精准时空感知赋能数字经济发展[J].无线电工程,2024,54(1):1-5.

[6] 邱小剑,骆博雅,付珍,等.国内外反无人机技术发展综述[J].战术导弹技术,2024(5):63-73.

[7] MORRIS P J B,HARI KV S.Detection and Localization of Unmanned Aircraft Systems Using Millimeter-wave Automotive Radar Sensors [J].IEEE Sensors Letters,2021,5(6):6001304.

[8] MEDAIYESE O O,EZUMA M,LAUF A P,et al.Hierarchical Learning Framework for UAV Detection and Identification [J].IEEE Journal of Radio Frequency Identification,2022,6:176-188.

[9] KANG H,JOUNG J,KIMJ,et al.Protect Your Sky:A Survey of Counter Unmanned Aerial Vehicle Systems [J].IEEE Access,2020,8:168671-168710.

[10] 陈鹏,陈洋,王威.无人机声学定位技术综述[J].华南理工大学学报(自然科学版),2022,50(12):109-123.

[11] XU L,LUO Z Q.Anti-UAV Detection and Identification Technology:Fundamentals,Methods and Challenges [J].Physical Communication,2025,71,102676.

[12] MA X M,GAO M G,ZHAO Y G,et al.A Novel Navigation Spoofing Algorithm for UAV Based on GPS/INS-integrated Navigation [J].IEEE Transactions on Vehicular Technology,2024,73(10):15424-15439.

[13] 何举,竺伟梁,庞兆君,等.反无人机网捕发射参数误差可行域分析[J].宇航学报,2024,45(5):711-719.

[14] LIAO L W,HUANG X L,XIEF Y.Development Status and Operation Analysis of Laser Weapon in Anti-drone Warfare [C]//2023 IEEE International Conference on Unmanned Systems(ICUS).Hefei:IEEE,2023:305-310.

[15] 王育欣,马宏斌,马宏,等.基于深度学习的通信辐射源识别综述[J].无线电工程,2024,54(6):1337-1345.

[16] 张航领,周顺勇,胡琴,等.认知无线电频谱感知技术研究综述[J].无线电工程,2024,54(11):2527-2536.

[17] 黄赛,冯志勇,王文远,等.全频谱深度认知理论与方法[J].无线电工程,2024,54(7):1589-1601.

[18] 宗茂,胥庆,王明杰,等.异类多源信息融合多目标检测与跟踪[J].无线电工程,2025,55(2):298-307.

[19] 王岩,李少波,张仪宗,等.数据驱动的无人机异常检测算法综述[J].无线电工程,2024,54(6):1407-1420.

[20] 刘小玲,张明.动态电子围栏下四旋翼无人机反步滑模飞行控制[J].计算机测量与控制,2025,33(2):119-128.

[21] 刘志勇.警务合成作战智能化预案指挥模式构建研究[J].火力与指挥控制,2024,49(4):6-17.

[22] 李凯,李峰,杨伟铭,等.天基物联网概念辨析、能力目标及应用[J].无线电工程,2024,54(12):2933-2941.

基本信息:

中图分类号:V279;V328

引用信息:

[1]张勇,黄沁.面向网联无人机的低空安全防控策略研究[J].无线电工程,2025,55(10):2114-2122.

基金信息:

北京市自然科学基金-海淀原始创新联合基金资助项目(L232003); 中国人民公安大学公共安全行为科学与工程科技创新项目(2022KXCCKJ07); 2024LL26项目; 北京市社会科学基金项目(24JCC095)~~

发布时间:

2025-08-07

出版时间:

2025-08-07

网络发布时间:

2025-08-07

检 索 高级检索